JP7470544B2 - Service providing device and program - Google Patents

Description

The present invention relates to a service providing device and a program.

Previously, mechanisms have been disclosed that insure against contingent events through the contributions of a large number of policyholders.

JP 2004-341913 A

In conventional technology, people who could not pay the premiums could not receive coverage. Here, a technology is known that derives index information showing the health condition of a user based on the results of an analysis of the user's physical condition, which is based on the output of an inertial measurement unit (IMU) sensor, worn by the user wearing measurement wear with an inertial measurement sensor (hereinafter, IMU sensor) attached to the garment.

The present invention has been made in consideration of these circumstances, and one of its objectives is to provide a service providing device and program that can provide a mechanism by which users can receive benefits in return for providing index information.

The service providing device and the program according to the present invention employ the following configuration.
(1) A service providing device according to one embodiment of the present invention includes a derivation unit that derives index information indicating a health condition of a user based on an analysis result of an analysis of the physical condition of the user based on the output of one or more inertial measurement sensors attached to measurement wear worn by the user, and a determination unit that determines a benefit to be granted to the user based on the index information.

In the aspect (2), in the service providing device according to the aspect (1) above, the decision unit decides to grant the privilege to the user when the index information indicates that the health condition of the user has deteriorated.

In the aspect (3), in the service providing device according to the aspect (1) or (2) above, the decision unit decides to grant the privilege to the user when the index information indicates that the health condition of the user is good for a predetermined period of time.

In the aspect (4), in the service providing device according to any one of the aspects (1) to (3) above, the benefit is provided at least in part with money or goods donated by the information user who receives the index information.

In the aspect (5), in the service providing device according to any one of the aspects (1) to (4) above, the benefit is at least partly funded by money or goods paid by the user when subscribing to the service for which the benefit can be received.

In the aspect (6), the service providing device according to any one of the aspects (1) to (5) above further includes a first adding unit that adds a first rank to an information user who is provided with the index information, and the deciding unit decides to grant the privilege to the information user for each predetermined period of time.

In the aspect (7), in the service providing device according to the aspect (6) above, the first adding unit adds a higher first rank to the information user the longer the subscription period to the service in which the index information is provided in exchange for providing money or goods, and the determination unit determines the level of the privilege to be granted to the information user based on the first rank added by the first adding unit.

In the aspect (8), the service providing device according to any one of the aspects (1) to (7) above further includes a second adding unit that adds a second rank to the user, and the determining unit determines the level of the privilege to be granted to the user based on the second rank added by the second adding unit.

In the aspect (9), in the service providing device according to the aspect (8) above, the second adding unit adds a higher second rank to the user as the index information indicates that the user's health condition is good.

In the aspect (10), in the service providing device according to the aspect (8) or (9) above, the second adding unit adds a higher second rank to the user based on the analysis result, the more inertial measurement sensors are attached to the measurement wear.

In the aspect (11), in the service providing device according to any one of the aspects (8) to (10) above, the second adding unit adds a higher second rank to the user based on the analysis result, the longer the period during which the user provides the output of the one or more inertial measurement sensors.

In the aspect (12), the service providing device according to any one of the aspects (8) to (11) above further includes a determination unit that determines whether or not the set conditions are observed based on the analysis results and on at least one of the set conditions that are set for the user when subscribing to the service that allows the user to receive the benefit, the set conditions being based on the number of the inertial measurement sensors attached to the measurement wear, the measurement time of the inertial measurement sensors, or the number of times the output of the one or more inertial measurement sensors is provided, and the second addition unit, when it is determined by the determination unit that the set conditions are observed, adds a higher second rank to the user compared to when it is determined that the set conditions are not observed.

(13) Another aspect of the program of the present invention causes a computer to derive index information indicating the health condition of a user based on the results of an analysis of the physical condition of the user based on the output of one or more inertial measurement sensors attached to measurement wear worn by the user, and to determine a benefit to be granted to the user based on the index information.

According to (1) to (13), a mechanism can be provided whereby users can receive benefits in return for providing index information.

According to (2), users can receive benefits if their health condition deteriorates.

According to (3), users can receive benefits by maintaining good health.

According to (4), users can receive benefits without donating money or goods as the source of the benefits.

According to (5), the more users provide index information, the more benefits they can receive.

According to (6), information users who use index information can receive benefits if they continue to use the index information.

According to (7), an information user who uses index information can receive more benefits the longer he or she is a subscriber to the service that provides the index information.

According to (9), the better the user's health, the more benefits they can receive.

According to (10), the more IMU sensor outputs a user provides, the more benefits he or she can receive.

According to (11), the longer a user provides IMU sensor output for, the more benefits he or she can receive.

According to (12), the more a user provides the output of the IMU sensor and complies with the conditions set when subscribing to the service to receive the benefits, the more benefits the user can receive.

FIG. 1 illustrates an example of a usage environment of a service providing device. FIG. 11 is a diagram illustrating a method for acquiring placement information. FIG. 2 is a diagram showing an example of the arrangement of the IMU sensor 20. FIG. 2 illustrates an example of the configuration of an analysis unit 240. 13 is a diagram for explaining a plane assumption process performed by a correction unit 260. FIG. 11 is a diagram for explaining a process of defining a direction vector vi by a correction unit 260. FIG. 13 is a diagram showing a state in which a direction vector vi rotates due to a change in the attitude of the estimation target TGT. FIG. 11 is a diagram for explaining an overview of a correction process performed by the posture estimation device PE. FIG. FIG. 2 illustrates an example of the configuration of a whole-body correction amount calculation unit 264. FIG. 13 is a diagram illustrating another example of the configuration of the whole-body correction amount calculation unit 264. FIG. 2 is a diagram showing a schematic diagram of the whole body correction amount calculation unit 264; 13 is a diagram for explaining the process flow of the whole body correction amount calculation unit 264 in a step-by-step manner. 13 is a diagram for explaining the process flow of the whole body correction amount calculation unit 264 in a step-by-step manner. 13 is a diagram for explaining the process flow of the whole body correction amount calculation unit 264 in a step-by-step manner. FIG. 1 is a diagram illustrating an example of a configuration of a service providing device 100 according to the present embodiment. FIG. 2 is a diagram showing an example of the contents of first user information 171. 13 is a diagram showing an example of the contents of second user information 172. FIG. FIG. 13 is a diagram showing an example of the contents of bonus information 173. 13 shows an example of the contents of history information 174. 13 is a flowchart showing an example of an operation of a process for determining to grant a privilege to a user. 13 is a flowchart showing an example of an operation of a process for determining to grant a privilege to an information user. 13 is a flowchart showing an example of the operation of a process for adding an information user rank to an information user. 13 is a flowchart showing an example of the operation of a process for adding a user rank to a user.

Below, an embodiment of the service providing device and program of the present invention will be described with reference to the drawings.

<Embodiment>
[composition]
FIG. 1 is a diagram showing an example of a usage environment of the service providing device 100. The user terminal device TM1 and the information user terminal device TM2 are a smartphone, a tablet terminal, a personal computer, etc. In the following description, when the user terminal device TM1 and the information user terminal device TM2 are not distinguished from each other, they are simply described as terminal devices TM. The terminal device TM includes, for example, a touch panel in which a display device and an input device are integrated, operation keys, various communication devices, a camera, a processor, a storage device, etc. In the terminal device TM, an application for receiving a service by the analysis device 200 is executed by the processor. The terminal device TM communicates with the analysis device 200 and the service providing device 100 via a network NW. The network NW includes a wide area network (WAN), a local area network (LAN), the Internet, a cellular network, etc.

The analysis device 200 uses the functions of the terminal device TM to acquire placement information of multiple IMU sensors 20 from the measurement wear 10 worn by the user. The measurement wear 10 is, for example, sportswear that allows easy movement and has multiple IMU sensors 20 attached to it. The measurement wear 10 may also be a simple garment such as an elastic band, swimsuit, or supporter that has multiple IMU sensors 20 attached to it. The measurement wear 10 may be a general-purpose product that is sold or rented in stores or through e-commerce.

The IMU sensor 20 is, for example, a sensor that detects acceleration and angular velocity for each of the three axes. The IMU sensor 20 is equipped with a communication device and transmits the detected acceleration and angular velocity to the terminal device TM by wireless communication in cooperation with an app. When the measurement wear 10 is worn by a user, it is automatically determined which part of the user's body each of the IMU sensors 20 corresponds to (hereinafter, placement information). The measurement wear 10 is provided with information that allows the placement information to be recognized. The IMU sensor 20 starts measuring acceleration and angular velocity and executing the terminal device TM (is activated), for example, in response to an instruction from an app on the terminal device TM. The IMU sensor 20 is an example of an "inertial measurement sensor."

Figure 2 shows an example of how to obtain placement information. Placement information can be obtained in various forms, as shown in the figure.

(Pattern 1)
For example, the user terminal device TM1 acquires the position information from the measurement wear 10 by wireless communication such as Bluetooth (registered trademark) or wireless LAN, and transmits the position information to the analysis device 200. At least one of the IMU sensors 20 has a memory that stores the position information, and returns the position information in response to a request signal received from the user terminal device TM1. Alternatively, all of the IMU sensors 20 may have a memory that stores their own position (part of the position information), and return their own position to the user terminal device TM1 in response to a request signal received from the user terminal device TM1.

(Pattern 2)
The user terminal device TM1 acquires identification information of the measurement wear 10 (hereinafter, wear ID) from the measurement wear 10, and transmits the wear ID to the analysis device 200. The analysis device 200 holds correspondence information between the wear ID and the arrangement information in a storage device, and reads out and acquires the arrangement information corresponding to the wear ID received from the user terminal device TM1 from the storage device.

(Patterns 3 and 4)
The user terminal device TM1 acquires encoded information (arrangement information or garment ID) by capturing an image of code information such as a QR code (registered trademark) attached to the measurement garment 10 with a camera, and transmits the encoded information to the analysis device 200. The analysis device 200 receives the arrangement information, or reads and acquires the arrangement information corresponding to the received garment ID from a storage device.

Returning to FIG. 1, the analysis device 200 analyzes the physical condition of the user based on the acquired placement information and the output of the IMU sensor 20. The analysis device 200 provides the analysis results to the user terminal device TM1 and the service providing device 100. The analysis device 200 may also associate the analysis results with information that can identify the user being analyzed (hereinafter, user ID), and store them in the analysis result database DB via the network NW.

The service providing device 100 is a device that derives index information indicating the health condition of a user based on the analysis results of the user's physical condition, and determines to grant a privilege to the user according to the user's health condition estimated from the derived index information. Hereinafter, the service in which a user provides the output of an IMU sensor 20 attached to the measurement wear 10 worn by the user and receives a privilege is referred to as the "first service."

The privilege given to the user includes, for example, at least a portion of the money or goods provided by the information user who is provided with the index information derived by the service providing device 100 as the source of funds. Hereinafter, the service in which the information user provides money or goods, at least a portion of which is used as the source of the privilege, in exchange for receiving the index information will be referred to as the "second service". Therefore, the more the information user uses the second service, the easier it is to collect the funds for the privilege, and the first service can be provided stably. Accordingly, the service providing device 100 is a device that decides to give a privilege to information users who make more use of the second service as a bonus for continuing their subscription to the second service.

The information user terminal device TM2 receives the index information transmitted from the service providing device 100. An information user using the information user terminal device TM2 refers to the received index information. The information user is, for example, a person who uses the index information for research and development. Specifically, the information user is, for example, a person (individual or organization such as a company) who develops sportswear, performs health evaluations, medical treatment, or manages factory safety taking into account human behavior.

The analysis device 200 will be described in detail below, and then the service providing device 100 will be described in detail.

[About the analysis device 200]
The analysis device 200 includes, for example, a communication unit 210, a placement information acquisition unit 220, an interface unit 230, and an analysis unit 240. These components are realized by, for example, a hardware processor such as a CPU (Central Processing Unit) executing a program (software). Some or all of these components may be realized by hardware (including circuitry) such as an LSI (Large Scale Integration), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or a GPU (Graphics Processing Unit), or may be realized by cooperation between software and hardware. The program may be stored in advance in a storage device such as an HDD (Hard Disk Drive) or a flash memory (a storage device having a non-transient storage medium), or may be stored in a removable storage medium such as a DVD or a CD-ROM (a non-transient storage medium), and may be installed by mounting the storage medium in a drive device. The analysis device 200 also includes a storage unit 270. The storage unit 270 is realized by a HDD, a flash memory, a RAM (Random Access Memory), or the like.

The communication unit 210 is a communication interface such as a network card for accessing the network NW.

The placement information acquisition unit 220 acquires placement information for each pattern described in FIG. 2 and stores it in the storage unit 270.

The interface unit 230 causes the user terminal device TM1 to output information and acquires information on operations performed on the user terminal device TM1. For example, the interface unit 230 makes inquiries to the user via the user terminal device TM1, acquires the results of the inquiries, and provides information to the user.

The analysis unit 240 performs an analysis process of the physical condition of the user wearing the measurement wear 10 using the output of one or more IMU sensors based on the placement information acquired by the placement information acquisition unit 220, and performs an analysis process that matches the placement information. The analysis unit 240 can, for example, perform multiple types of analysis processes that match different placement information.

[Analysis process]
An example of the analysis process by the analysis unit 240 will be described below. FIG. 3 is a diagram showing an example of the arrangement of the IMU sensors 20. For example, IMU sensors 20-1 to 40-N (N is the total number of IMU sensors) are attached to a plurality of locations such as the user's head, chest, pelvis area, and left and right limbs. Hereinafter, the user wearing the measurement wear 10 may be referred to as the estimation target TGT. In addition, an argument i is adopted to mean any one of 1 to N, and the sensor is referred to as the IMU sensor 20-i, etc. In the example of FIG. 3, a heart rate sensor and a temperature sensor are also attached to the measurement wear 10.

For example, the IMU sensors 20 are arranged such that IMU sensor 20-1 is on the right shoulder, IMU sensor 20-2 on the right upper arm, IMU sensor 20-8 on the left thigh, and IMU sensor 20-9 below the left knee. IMU sensor 20-p is attached around a part that serves as a reference part. The reference part corresponds to, for example, a part of the trunk of the user, such as the pelvis. In the following explanation, a part to which one or more IMU sensors 20 are attached and whose movement is measured is referred to as a "segment." A segment includes the reference part and a sensor attachment part other than the reference part (hereinafter referred to as a reference part).

In the following explanation, the components corresponding to each of the IMU sensors 20-1 to 20-N are described with a hyphen followed by a symbol.

Figure 4 is a diagram showing an example of the configuration of the analysis unit 240. The analysis unit 240 includes, for example, a sensor output acquisition unit 242, a conversion unit 244, an integration unit 250, and a correction unit 260.

Angular velocity and acceleration information is acquired from multiple IMU 40 sensors. The conversion unit 244 converts the information acquired by the sensor output acquisition unit 242 from a coordinate system of three axes in each IMU sensor 20 (hereinafter referred to as the sensor coordinate system) into information in a reference coordinate system. The reference coordinate system is, for example, a ground coordinate system with the direction of gravity as one of its axes. The conversion unit 244 outputs the conversion result to the correction unit 260.

The conversion unit 244 includes, for example, a segment angular velocity calculation unit 246-i corresponding to each segment, and an acceleration aggregation unit 248. The segment angular velocity calculation unit 246-i converts the angular velocity of the IMU sensor 20-i output by the sensor output acquisition unit 242 into information in a reference coordinate system. The processing result by the segment angular velocity calculation unit 246-i (based on the detection result of the IMU sensor 20, and information representing the attitude of the estimation target TGT) is held, for example, in the form of a quaternion. Note that expressing the measurement result of the IMU sensor 20-i in the form of a quaternion is merely an example, and other expression methods such as a rotation matrix of a three-dimensional rotation group SO3 may be used.

The acceleration aggregation unit 248 aggregates each of the accelerations detected by the IMU sensors 20-i corresponding to the segments. The acceleration aggregation unit 248 converts the aggregation result into the acceleration of the entire body of the estimation target TGT (hereinafter, sometimes referred to as the total IMU acceleration).

The integration unit 250 integrates the angular velocity corresponding to the segment converted into information in the reference coordinate system by the segment angular velocity calculation unit 246-i to calculate the orientation of the segment (reference portion) to which the IMU sensor 20-i is attached in the estimation target TGT as part of the posture of the estimation target. The integration unit 250 outputs the integration result to the correction unit 260 and the memory unit 270.

When the processing cycle is the first, the integration unit 250 receives the angular velocity output by the conversion unit 244 (angular velocity that has not been corrected by the correction unit 260), but thereafter receives the angular velocity that reflects the correction derived by the correction unit 260 (described later) based on the processing results of the previous processing cycle.

The integrator 250 includes, for example, an angular velocity integrator 252-i corresponding to each segment. The angular velocity integrator 252-i integrates the angular velocity of the segment output by the segment angular velocity calculator 246-i to calculate the orientation of the reference part of the estimation target to which the IMU sensor 20-i is attached as part of the posture of the estimation target.

The correction unit 260 assumes a representative plane that passes through the reference part included in the estimation target, and corrects the converted angular velocity of the reference part so that the normal to the representative plane approaches a direction perpendicular to the orientation of the reference part calculated by the integration unit 250. The representative plane will be described later.

The correction unit 260 includes, for example, an estimated posture summarization unit 262, a whole-body correction amount calculation unit 264, a correction amount decomposition unit 266, and an angular velocity correction unit 268-i corresponding to each segment.

The estimated posture aggregation unit 262 aggregates the quaternions representing the postures of each segment, which are the results of calculations performed by the angular velocity integration unit 252-i, into one vector. The aggregated vector is called the estimated whole body posture vector.

The whole-body correction amount calculation unit 264 calculates the correction amount of the angular velocity of all segments based on the total IMU acceleration output by the acceleration aggregation unit 248 and the estimated whole-body posture vector output by the estimated posture aggregation unit 262. The correction amount calculated by the whole-body correction amount calculation unit 264 is adjusted taking into account the relationship between each segment so that the whole-body posture of the estimation target does not become unnatural. The whole-body correction amount calculation unit 264 outputs the calculation result to the correction amount decomposition unit 266.

The correction amount decomposition unit 266 decomposes the correction amount calculated by the whole-body correction amount calculation unit 264 into correction amounts for the angular velocity of each segment so that the correction amounts can be reflected in the angular velocity of each segment. The correction amount decomposition unit 266 outputs the decomposed angular velocity correction amount for each segment to the angular velocity correction unit 268-i of the corresponding segment.

The angular velocity correction unit 268-i reflects the decomposition result of the correction amount of the angular velocity of the associated segment output by the correction amount decomposition unit 266 in the calculation result of the angular velocity of the corresponding segment output by the segment angular velocity calculation unit 246-i. As a result, the object to be integrated by the integration unit 250 in the processing of the next cycle becomes the angular velocity in a state where the correction by the correction unit 260 is reflected.

The angular velocity correction unit 268-i corrects the angular velocity by reflecting the decomposition result by the correction amount decomposition unit 266 in the angular velocity of the associated segment output by the conversion unit 244. The angular velocity correction unit 268-i outputs the correction result to the angular velocity integration unit 252-i.

The posture estimation result for each segment, which is the integration result by the integrator 250, is transmitted to the user terminal device TM1.

Figure 5 is a diagram for explaining the plane assumption process by the correction unit 260. When the reference site is the pelvis of the estimation target TGT as shown in the left diagram of Figure 4, the correction unit 260 assumes the midsagittal plane (Sagittal plane in the diagram) passing through the center of the pelvis as the representative plane. The midsagittal plane is a plane that divides the body of the bilaterally symmetric estimation target TGT into left and right, parallel to the midline of the body. Furthermore, the correction unit 260 sets the normal n (Normal vector indicated by the arrow in the diagram) of the assumed midsagittal plane as shown in the right diagram of Figure 5.

Figure 6 is a diagram for explaining the process of defining the direction vector vi by the correction unit 260. The correction unit 260 sets the output of a certain IMU sensor 20-i as the initial state, and defines its orientation as horizontal and parallel to the representative plane (calibration process). After that, the direction vector rotates in three directions along the three-way rotation obtained by integrating the output of the IMU sensor 20-i.

As shown in FIG. 6, when the reference parts of the estimation target TGT include the chest, the left and right thighs, and the left and right lower knees, the correction unit 260 estimates the mounting posture of the IMU sensor 20 based on the results of the calibration process, corrects the converted angular velocities of the reference parts so that the normal n and the orientation of the reference parts calculated by the integration unit 250 approach a direction perpendicular to each other, and derives direction vectors v1 to v5 (forward vector in the figure) in which the reference parts face as shown. As shown, the direction vector v1 indicates the direction vector of the chest, the direction vectors v2 and v3 indicate the direction vectors of the thighs, and the direction vectors v4 and v5 indicate the direction vectors of the lower knees. Note that the x-axis, y-axis, and z-axis in the figure are examples of directions in a reference coordinate system.

Figure 7 shows how the direction vector vi rotates due to a change in the posture of the estimation target TGT. When the output of the IMU sensor 20-p of a certain reference part is set to the initial state, the representative plane rotates in the yaw direction along the yaw displacement obtained by integrating the output of the IMU sensor 20-p. The correction unit 260 increases the degree to which the converted angular velocity of the reference part is corrected as the orientation of the reference part calculated by the integration unit 250 in the previous cycle continues to deviate from the orientation perpendicular to the normal line n of the midsagittal plane.

[Posture Estimation]
For example, when the dot product of the direction vector vi and the normal n of the reference part is 0 as shown in FIG. 6, the correction unit 260 determines that the orientation of the reference part is the home position posture that does not deviate from the direction perpendicular to the normal n of the midsagittal plane, and when the dot product of the direction vector vi and the normal n is greater than 0 as shown in FIG. 7, the correction unit 260 determines that the orientation of the reference part deviates from the direction perpendicular to the normal n of the midsagittal plane. The home position is the basic posture (however, relative to the representative plane) of the estimation target TGT acquired as a result of the calibration process after the IMU sensor 20 is attached to the estimation target TGT, and is, for example, a stationary upright state. Therefore, the calibration process is a process of defining the home position based on the measurement result of the IMU sensor 20 obtained as a result of making the estimation target TGT perform a predetermined operation (calibration operation).

As a result, the correction unit 260 performs a correction that reflects the fact that the deviation becomes smaller over time (approaching the home position as shown in FIG. 6) based on the assumption that it is rare for the estimation target to maintain a posture that deviates from the orientation perpendicular to the normal n of the midsagittal plane (i.e., a twisted state as shown in FIG. 7) for a long period of time or to move while maintaining a posture that deviates from the orientation perpendicular to the normal n of the midsagittal plane.

Figure 8 is a diagram for explaining an overview of the correction process by the posture estimation device PE. The posture estimation device PE defines different optimization problems for the pelvis of the estimation target TGT and the other segments. First, the posture estimation device PE calculates the pelvis posture of the estimation target TGT, and then uses the pelvis posture to calculate the postures of the other segments.

If the calculations for the pelvic posture and the postures of the segments other than the pelvis were solved separately, the pelvic posture would be estimated using gravity correction only. The posture estimation device PE estimates the pelvic posture and the postures of the other segments simultaneously so that the pelvic posture can be estimated taking into account the postures of the other segments, aiming for optimization that takes into account the influences of all IMU sensors 20 on each other.

[Calculation example]
A specific example of calculations for estimating the attitude will be described below with reference to the illustrated formulas.

We will explain how to express posture using quaternions. Rotation from a coordinate system frame A to frame B can be expressed as a quaternion using the following formula (1). However, frame B rotates by θ around the axis normalized to frame A.

In the following explanation, a quaternion q with a hat symbol (unit quaternion expressing rotation) will be denoted as "q(h)". A unit quaternion is a quaternion divided by a norm. q(h) is a column vector with four real-valued elements as shown in formula (1). Using this representation method, the estimated whole-body posture vector Q of the estimation target TGT can be expressed as the following formula (2).

In addition, ^S _E q(h) _i (i is an integer from 1 to N indicating a segment, or p indicating a reference position) represents the rotation from a reference position in the coordinate system S (segment coordinate system) of the IMU sensor 20 of the reference part to a reference coordinate position E (for example, a coordinate system that can be defined from the direction of gravity of the earth) in a quaternion. The estimated whole-body posture vector Q of the estimation target TGT is a column vector having 4(N+1) real-valued elements, in which unit quaternions indicating the postures of all segments are aggregated into one.

To estimate the posture of the target TGT, we first consider estimating the posture of one segment to which the IMU sensor 20 is attached.

Equation (3) is an example of an update equation for an optimization problem, and is an equation for deriving the correction amount in the roll and pitch directions by deriving the minimum value of 1/2 the norm of the derived result of the function shown in equation (4). The right side of equation (4) is an equation that subtracts the reference direction measured by the IMU sensor 20 expressed in the sensor coordinate system from information indicating the direction in which the reference should be (e.g., the direction of gravity, geomagnetism, etc.) obtained from the estimated attitude expressed in the sensor coordinate system.

As shown in Equation (5), ^S _E q is an example of a matrix representation of unit quaternion ^S _E q(h). As shown in Equation (6), ^E d(h) is a vector indicating a reference direction (e.g., the direction of gravity or geomagnetism) used to correct the yaw direction. As shown in Equation (7), ^S s(h) is a vector indicating a reference direction measured by the IMU sensor 20 expressed in the sensor coordinate system.

When gravity is used as a reference, Equation (6) and Equation (7) can be expressed as Equation (8) and Equation (9) below, where _{a x ,} a _{y , and} a _z represent the acceleration in the x-axis direction, the acceleration in the y-axis direction, and the acceleration in the z-axis direction, respectively.

^E d(h) = [0 0 0 1] ... (8)
^Ss (h) = [0 a _x a _y a _z ] ... (9)

The relational equation shown in formula (3) can be solved, for example, by the gradient descent method. In that case, the update equation for the estimated attitude can be shown in formula (10). The gradient of the objective function is shown using the following formula (11). Formula (11) showing the gradient can be calculated using the Jacobian as shown in formula (12). The Jacobian shown in formula (12) is a matrix obtained by partially differentiating the gravity error term and the yaw direction error term with respect to each element of the whole body direction vector vi. The gravity error term and the yaw direction error term will be described later.

As shown on the right side of formula (10), the unit quaternion ^S _E q(h) _k+1 can be derived by subtracting the product of a coefficient μ (a constant equal to or less than 1) and the gradient from the unit quaternion ^S _E q(h) _k indicating the current estimated attitude. Furthermore, as shown in formulas (11) and (12), the gradient can be derived with a relatively small amount of calculation.

Note that actual calculation examples of formulas (4) and (12) when using gravity as the reference are shown in formulas (13) and (14) below.

In the method shown above using equations (3) to (7) and equations (10) to (12), the attitude can be estimated by calculating the update equation once for each sampling. In addition, when gravity is used as the reference as in equations (8), (9), (13), and (14), corrections can be made in the roll axis and pitch axis directions.

[Whole body correction calculation]
A method for deriving the whole-body correction amount (particularly the yaw direction correction amount) for the estimated posture will be described below. Fig. 9 is a diagram showing an example of the configuration of the whole-body correction amount calculation unit 264. The whole-body correction amount calculation unit 264 includes, for example, a yaw direction error term calculation unit 264a, a gravity error term calculation unit 264b, an objective function calculation unit 264c, a Jacobian calculation unit 264d, a gradient calculation unit 264e, and a correction amount calculation unit 264f.

The yaw direction error term calculation unit 264a calculates the yaw direction error term to achieve correction of the yaw angle direction from the estimated whole body posture.

The gravity error term calculation unit 264b calculates the gravity error term to achieve correction in the roll axis direction and pitch axis direction from the estimated whole body posture and the acceleration detected by the IMU sensor 20.

The objective function calculation unit 264c calculates an objective function for correcting the midsagittal plane of the estimation target TGT to be parallel to the direction vector vi based on the estimated whole-body posture, the acceleration detected by the IMU sensor 20, the calculation results of the yaw direction error term calculation unit 264a, and the calculation results of the gravity error term calculation unit 264b. The objective function is the sum of the squares of the gravity error term and the yaw direction error term. Details of the objective function will be described later.

The Jacobian calculation unit 264d calculates the Jacobian obtained by partial differentiation of the estimated whole-body posture vector Q from the estimated whole-body posture and the acceleration detected by the IMU sensor 20.

The gradient calculation unit 264e uses the calculation results by the objective function calculation unit 264c and the calculation results by the Jacobian calculation unit 264d to derive a solution to the optimization problem and calculate the gradient.

The correction amount calculation unit 264f uses the calculation results of the gradient calculation unit 264e to derive the whole-body correction amount to be applied to the estimated whole-body posture vector Q of the estimation target TGT.

Figure 10 is a diagram showing another example of the configuration of the whole-body correction amount calculation unit 264. The whole-body correction amount calculation unit 264 shown in Figure 10 derives the whole-body correction amount using the midsagittal plane and the direction vector vi of each segment, and further includes a representative plane normal calculation unit 164g and a segment vector calculation unit 164h in addition to the components shown in Figure 9.

The representative plane normal calculation unit 164g calculates the normal n of the midsagittal plane, which is the representative plane, based on the estimated whole-body posture. The segment vector calculation unit 164h calculates the direction vector vi of the segment based on the estimated whole-body posture.

[Example of derivation of whole body correction amount]
An example of derivation of the whole body correction amount will be described below.

The yaw direction error term calculation unit 264a uses the following equation (15) to calculate the inner product of the yaw direction error term _fb for making corrections so that the midsagittal plane and the direction vector of the segment are parallel.

The yaw direction error term _fb is a formula for deriving a correction amount based on the unit quaternion ^S _E q(h) _i indicating the estimated posture of the segment i and the unit quaternion ^S _E q(h) _p indicating the estimated posture of the pelvis, which is the reference part. The right side of the formula (15) derives the inner product of the normal n of the midsagittal plane expressed in the sensor coordinate system, calculated by the representative plane normal calculation unit 164g, and the direction vector vi of the segment expressed in the sensor coordinate system, calculated by the segment vector calculation unit 164h. This makes it possible to perform a correction that takes into account the fact that, when the estimation target TGT is in a twisted state, the twist is eliminated (approaching the home position as shown in the right diagram of FIG. 5).

Next, the gravity error term calculation unit 264b performs a calculation to perform a reference correction (e.g., gravity correction) for each segment, as shown in formula (16).

Equation (16) is a relational equation between the unit quaternion ^S _E q(h) _i indicating the estimated attitude of any segment i and the acceleration (gravity) measured by the IMU sensor 20-i, and as shown on the right side of equation (16), it can be derived by subtracting the measured direction of gravity (measured gravitational acceleration direction) ^S a _i (h) expressed in the sensor coordinate system from the direction in which gravity should be expressed in the sensor coordinate system (assumed gravitational acceleration direction) obtained from the estimated attitude.

Here, a specific example of the measured direction of gravity ^S a _i (h) is shown in Equation (17). Furthermore, the constant ^E d _g (h) indicating the direction of gravity can be expressed by a constant as shown in Equation (18).

Next, the objective function calculation unit 264c calculates formula (19) as the correction function for segment i, which combines the gravity error term and the yaw direction error term.

where c _i is a weighting coefficient for representative plane correction. When formulating the correction function for segment i, equation (19), as an optimization problem, can be expressed as equation (20).

Note that formula (20) is equivalent to formula (21), which is a correction function that can be expressed as the sum of the objective functions of gravity correction and representative plane correction.

The objective function calculation unit 264c performs posture estimation for all segments in the same manner and defines an optimization problem that integrates the objective function of the entire body. Equation (22) is the correction function F(Q, α) that integrates the objective function of the entire body. α is the total IMU acceleration measured by the IMU sensor, and can be expressed as in Equation (23).

The first line on the right side of formula (22) indicates a correction function corresponding to the pelvis, and the second and subsequent lines on the right side indicate correction functions corresponding to each segment other than the pelvis. Using the correction function shown in formula (22), the optimization problem for correcting the whole-body posture of the estimation target TGT can be defined as shown in formula (24) below. Formula (24) can be transformed as shown in formula (25) in the same format as formula (21), which is the correction function for each segment already mentioned.

Next, the gradient calculation unit 264e calculates the gradient of this objective function as shown in the following formula (26) using the Jacobian _JF obtained by partial differentiation of the estimated whole body posture vector Q. The Jacobian _JF is shown in formula (27).

The size of each element shown in formula (27) is as shown in formulas (28) and (29) below.

That is, the Jacobian _JF shown in formula (27) is a large matrix of (3+4N)×4(N+1) (N is the total number of IMU sensors other than the IMU sensor for measuring the reference part), but in reality, the elements shown in the following formulas (30) and (31) are 0, so that the calculations can be omitted, and real-time posture estimation becomes possible even with a low-speed calculation device.

By substituting formulas (30) and (31) into formula (27) already shown, we can obtain the following formula (32).

The gradient calculation unit 264e can calculate the gradient shown in formula (26) using the calculation result of formula (32).

[Processing image of whole body correction amount calculation unit]
Figures 11 to 14 are diagrams showing the flow of calculation processing in the whole-body correction amount calculation unit 264. Figure 11 is a diagram showing the whole-body correction amount calculation unit 264 in its entirety, and Figures 12 to 14 are diagrams for explaining the flow of processing in the whole-body correction amount calculation unit 264 in a step-by-step manner.

11, the acceleration aggregation unit 248 converts the acceleration ^S a _i,t (where i may be p indicating the pelvis, which is the reference part, the same applies below) of each IMU sensor 20-i measured at time t acquired by the sensor output acquisition unit 242, and converts it into a total IMU acceleration α _t of the estimation target TGT, which is the aggregated result. In addition, the angular velocity ^S ω _i,t of each IMU sensor 20-i measured at time t acquired by the sensor output acquisition unit 242 is output to the corresponding angular velocity integration unit 252-i.

Moreover, the processing blocks from Z ⁻¹ to β shown in the upper right portion of FIG. 11 indicate that the correction unit 260 derives the correction amount in the next processing cycle.

11 to 14, if the gradient of the objective function shown in the following formula (33) is _ΔQt , the feedback to the angular velocity _Qt (.) at time t ( _Qt with a dot symbol added as an upper character, which is the time differentiation result of the estimated whole body posture vector _Qt at time t) can be expressed as the following formula (34). Note that β in formula (34) is a real number satisfying 0≦β≦1 for adjusting the gain of the correction amount.

As shown in equation (34), the whole-body correction amount calculation unit 264 reflects an arbitrary real number β as a correction amount in the result of normalizing the gradient ΔQ of the angular velocity Q _t (·).

The integrator 250 integrates the angular velocity of each segment as shown in FIG. 12. Next, the corrector 260 calculates the gradient ΔQ using the angular velocity and estimated posture of each segment as shown in FIG. 13. Next, the corrector 260 feeds back the derived gradient ΔQ to the angular velocity of each IMU sensor as shown in FIG. 14. When the sensor output acquirer 242 acquires the next measurement result by the IMU sensor 20, the integrator 250 again integrates the angular velocity of each segment as shown in FIG. 12. The posture estimation device PE performs the posture estimation process for the estimation target TGT by repeating the processes shown in FIG. 12 to FIG. 14, and thus the accuracy of the estimation result of the posture estimation device PE is improved because the characteristics of the human body and empirical rules are reflected in the estimation result of the posture of each segment.

The processes shown in Figures 12 to 14 are repeated, and the estimated posture aggregation unit 262 aggregates the results of the angular velocity integration by the integration unit 250, averaging the errors in the measured angular velocity of each IMU sensor 20, and the estimated whole-body posture vector Q of equation (2) can be derived. This estimated whole-body posture vector Q reflects the result of calculating the yaw direction correction amount from the whole-body posture using the characteristics of the human body and empirical rules. By estimating the posture of the estimation target TGT using the above method, it is possible to estimate a plausible whole-body posture of a person with reduced yaw angle drift without using geomagnetism, so that whole-body posture estimation with reduced yaw drift is possible even when measurements are performed for a long period of time.

The analysis device 200 stores the whole-body posture estimation results as analysis results in the analysis result database DB, and provides information indicating the analysis results to the user terminal device TM1 and the service providing device 100.

[Regarding the service providing device 100]
The service providing device 100 will be described below. FIG. 15 is a diagram showing an example of the configuration of the service providing device 100 in this embodiment. The service providing device 100 includes, for example, a communication unit 110, an analysis information acquisition unit 120, a derivation unit 130, a determination unit 140, and an addition unit 150. These components are realized by, for example, a hardware processor such as a CPU executing a program (software). Some or all of these components may be realized by hardware (including a circuit unit) such as an LSI, an ASIC, an FPGA, or a GPU, or may be realized by cooperation between software and hardware. The program may be stored in a storage device such as an HDD or a flash memory (a storage device having a non-transient storage medium) in advance, or may be stored in a removable storage medium such as a DVD or a CD-ROM (a non-transient storage medium), and may be installed by mounting the storage medium in a drive device. The service providing device 100 also includes a storage unit 170. The storage unit 170 is realized by an HDD, a flash memory, a RAM, or the like. The storage unit 170 stores, for example, first user information 171, second user information 172, benefit information 173, and history information 174.

Figure 16 is a diagram showing an example of the contents of the first user information 171. The first user information 171 is information related to a user who uses the first service. The first user information 171 is information including one or more records for each user in which, for example, a user ID, information indicating the user's name, information indicating the user's rank added by the adding unit 150 described later, measurement wear information related to the measurement wear 10 worn by the user, and first setting condition information indicating the conditions set by the user when subscribing to the first service are associated with each other. The measurement wear information includes, for example, sensor position information indicating the attachment position of the IMU sensor 20 attached to the measurement wear 10, and sensor number information indicating the number of IMU sensors 20 attached to the measurement wear 10.

The first setting condition information includes, for example, information indicating the number of outputs of the IMU sensor 20 (hereinafter, the number of sensor outputs provided), information indicating the measurement time of the IMU sensor 20, and information indicating the number of times the output of the IMU sensor 20 is provided. The information indicating the measurement time of the IMU sensor 20 may be, for example, information indicating the total number of times during which the output of the IMU sensor 20 is provided during the period during which the user subscribes to the first service, or may be information indicating the time (or time period) during which the output of the IMU sensor 20 is provided during a predetermined period (e.g., one day). The information indicating the number of times the IMU sensor 20 is provided may be, for example, information indicating the total number of times during which the output of the IMU sensor 20 is provided during the period during which the user subscribes to the first service, or may be information indicating the number of times during which the output of the IMU sensor 20 is provided during a predetermined period (e.g., one day).

Figure 17 is a diagram showing an example of the contents of the second user information 172. The second user information 172 is information related to an information user who uses the second service. The second user information 172 is information that includes one or more records for each information user, including, for example, information that can identify the information user (hereinafter, information user ID), information indicating the name of the information user, information indicating the user's rank added by the addition unit 150 described below, and second setting condition information indicating the conditions set by the information user when subscribing to the second service.

The second setting condition information includes, for example, information indicating the type of index information, information indicating the measurement time of the IMU sensor 20 used to derive the index information, information indicating the number of times the index information has been provided, and information indicating the user to whom the information user desires to be provided with the index information. The information indicating the number of times the IMU sensor 20 has been provided may be, for example, information indicating the total number of times the IMU sensor 20 has been provided during the period during which the information user subscribes to the second service, or may be information indicating the number of times the IMU sensor 20 has been provided during a specified period (for example, one day). The information indicating the user conditions is, for example, information indicating the user's age, generation, sex, health condition, specific conditions that the desired index information must satisfy, etc.

The information indicating the user conditions may include the user ID of a user who satisfies the user conditions. Below, a case will be described in which the information indicating the user conditions includes the user ID of a user desired by the information user. The second setting condition information may include some of the above-mentioned conditions, or may include information other than the above-mentioned conditions.

Figure 18 is a diagram showing an example of the contents of the reward information 173. The reward information 173 is, for example, information indicating the history of rewards provided by a user or an information user. As described above, the information user provides money or goods, at least a portion of which is used as the source of the reward, in exchange for receiving the index information. In addition, the user provides money or goods, at least a portion of which is used as the source of the reward (for example, as a membership fee), for example, when subscribing to the first service. The reward information 173 is, for example, information in which information indicating the date and time when the user or the information user provided the money or goods, the user ID of the user who provided the money or goods, or the information user ID of the information user who provided the money or goods, and information indicating the reward for which at least a portion of the money or goods was used as the source of the reward are associated with each other. Below, we will explain a case where the first service and the second service are services that are contracted for a predetermined period (e.g., one year; hereafter, contract period), and the user pays the admission fee for the first service at the start of each contract period (or at the end of the contract period), and the information user pays the usage fee for the second service for each contract period.

In the above, the information user pays the usage fee for the second service for each predetermined contract period, but this is not limited to the above. For example, the information user may pay the usage fee for the second service each time the information user receives the provision of index information related to a user who desires to be provided with index information.

Figure 19 shows an example of the contents of history information 174. History information 174 is information that includes one or more records in which a user ID, information indicating the user's name, index information derived by derivation unit 130 (described later), information indicating the user's health condition identified by determination unit 140 (described later), and information indicating the date and time when the index information was derived (or the date and time when the health condition was identified) are associated with each other.

The service providing device 100 may have a functional unit (providing unit) that, when a record of the second user information 172 is generated or updated, provides information indicating the record to an information user whose user conditions include a user ID included in the updated record. The service providing device 100 may also have a functional unit (viewing restriction unit) that, when a record of the second user information 172 is generated or updated, allows only information users whose user conditions include a user ID included in the updated record to view the record via the network NW.

Returning to FIG. 15, the communication unit 110 is a communication interface such as a network card for accessing the network NW.

The analysis information acquisition unit 120 acquires the analysis information from the analysis device 200 via the network NW. The analysis information is information indicating the analysis results of the analysis device 200 analyzing the user's physical condition based on the output of one or more IMU sensors 20 attached to the measurement wear 10 worn by the user. The analysis information acquisition unit 120 may also acquire the analysis information by reading it out from the analysis result database DB via the network NW.

The derivation unit 130 derives index information indicating the health condition of the user based on the analysis information acquired by the analysis information acquisition unit 120. The index information indicating the health condition is, for example, information indicating indicators such as the user's amount of exercise, range of motion of the limbs, basal metabolic rate, calories burned, sitting time, standing time, weight, BMI (Body Mass Index), body fat percentage, or muscle mass. The derivation unit 130 derives one or more pieces of index information. The derivation unit 130 generates a record including the derived index information and generates (updates) the history information 174.

The determination unit 140 decides to grant a privilege (e.g., a lump sum for medical treatment) to the user based on the index information derived by the derivation unit 130. The determination unit 140, for example, identifies the health condition of the user based on the index information derived by the derivation unit 130. The determination unit 140 decides to grant a privilege to the user when the identified health condition of the user is poor. The determination unit 140 may, for example, decide to grant a (small amount) privilege to the user each time it identifies a worsening state, or may decide to grant a privilege to the user when the health condition has worsened (changed) from a good state. In the latter case, the determination unit 140 identifies information indicating the most recent (or recent) health condition of the user to be determined from the information indicating the health condition included in the history information 174, and identifies the deterioration (change) of the health condition by comparing the identified health condition with the current health condition. The determination unit 140 generates (updates) the history information 174 by including information indicating the identified health condition in the corresponding record of the history information 174.

Furthermore, the decision unit 140 decides to grant a privilege (e.g., a health bonus) to the user if the state indicating that the user's health condition is good continues for a predetermined period (e.g., several months to several years; first judgment period). The decision unit 140 refers to the history information 174 and identifies records related to the user to be determined that are from the present to the first judgment period. The decision unit 140 decides whether the state indicating that the user's health condition is good has continued for the first judgment period based on information indicating the health condition contained in the identified record. If the decision unit 140 determines that the state indicating that the user's health condition is good has continued for the first judgment period, it decides to grant the privilege to the user.

The determination unit 140 also determines that a privilege (contract renewal bonus) should be granted to the information user every predetermined period (e.g., several months to several years; hereinafter, the second determination period). The determination unit 140 refers to the privilege information 173 and identifies records related to the information user to be determined that are from the present to the period before the second determination period. The determination unit 140 determines whether the information user has been continuously subscribed to the second service for the second determination period based on information indicating the date and time included in the identified record. If the determination unit 140 determines that the information user has been continuously subscribed to the second service for the second determination period, it determines that a privilege should be granted to the information user.

In addition, the determination unit 140 determines the level of the privilege to be granted based on the rank given to the user or information user by the addition unit 150 described below.

The addition unit 150 adds an information user rank to the information user. The information user rank is expressed by, for example, a plurality of grades. For example, the longer the subscription period to the second service, the higher the information user rank the addition unit 150 adds to the information user. For example, based on information indicating the date and time of the benefit information 173, the addition unit 150 specifies the total subscription period of the second service, the continuous subscription period of the second service, the total number of uses, etc., for the information user to which the information user rank is to be added. Hereinafter, it is assumed that the addition unit 150 specifies the total subscription period of the second service as the subscription period to the second service. The addition unit 150 adds an information user rank to the information user based on table information indicating the correspondence between the total subscription period of the second service and the information user rank, and the specified total subscription period of the second service. The addition unit 150 generates (updates) the second user information 172 by including the information indicating the added information user rank in the record of the second user information 172.

The adding unit 150 also adds a user rank to the user based on at least one of the following: a condition based on the health condition (condition 1), a condition based on the number of IMU sensors 20 (condition 2), a condition related to the period for which the output of the IMU sensors 20 is provided (condition 3), and a condition based on the first set condition information (condition 4). The adding unit 150 generates (updates) the first user information 171 by including information indicating the added user rank in the record of the first user information 171.

[Condition 1: Health-based conditions]
For example, the adding unit 150 assigns a higher user rank to a user based on the index information derived by the derivation unit 130, the better the health condition of the user. For example, the adding unit 150 determines whether or not the index indicated by the index information is better than a criterion for the index indicating a good health condition, for each of one or more pieces of index information derived by the derivation unit 130. The adding unit 150 assigns a higher user rank to a user based on a greater number of results indicating that the index indicated by the index information is good. Note that the adding unit 150 may compare an index of predetermined index information among one or more pieces of index information derived by the derivation unit 130 with a criterion for the index, and determine that the health condition of the user is good.

[Condition 2: Condition based on the number of IMU sensors 20]
For example, the more IMU sensors 20 attached to the measurement garment 10, the higher the user rank the addition unit 150 assigns to the user. For example, the addition unit 150 identifies the number of IMU sensors 20 related to the user to which the user rank is to be assigned, based on sensor count information in the first user information 171. The addition unit 150 assigns the user rank to the user based on, for example, table information indicating the correspondence between the number of IMU sensors 20 and the user rank, and the identified number of IMU sensors 20.

[Condition 3: Condition related to the period for providing the output of the IMU sensor 20]
For example, the longer the period during which the user provides the output of the IMU sensor 20, the higher the user rank the adding unit 150 adds to the user. For example, the adding unit 150 identifies the measurement time of the IMU sensor 20 related to the user to which the user rank is to be added, based on information indicating the measurement time in the first user information 171. The adding unit 150 adds the user rank to the user, based on table information indicating the correspondence between the measurement time of the IMU sensor 20 and the user rank, and the identified measurement time of the IMU sensor 20, for example.

[Condition 4: Condition based on first set condition information]
The addition unit 150 judges whether or not the conditions indicated in the first setting condition information are observed, for example, based on the analysis results stored in the analysis result database DB and the first user information 171. When it is judged that the conditions indicated in the first setting condition information are observed, the addition unit 150 assigns a higher user rank to the user than when it is judged that the conditions indicated in the first setting condition information are not observed. The addition unit 150 acquires, for example, information indicating the analysis result related to the user who is the load target of the user rank from the analysis result database DB. Based on the acquired analysis result, the addition unit 150 judges whether the number of output results of the IMU sensor 20 indicated in the condition of the number of sensor outputs provided has been provided, whether the output results of the IMU sensor 20 for the time indicated in the condition of the measurement time of the IMU sensor 20 have been provided, or whether the output results of the IMU sensor 20 for the number of times indicated in the condition of the number of times the output of the IMU sensor 20 is provided has been provided, which are conditions set for the user when subscribing to the first service. The adding unit 150 considers that the conditions indicated in the first setting condition information are being complied with to the extent that each judgment result indicates that the conditions are being appropriately complied with, and assigns a higher user rank to the user compared to cases in which it is judged that the conditions indicated in the first setting condition information are not being complied with.

In addition, the adding unit 150 may add the information user rank or the user rank based on a threshold value indicating the boundary between classes such as the information user rank or the user rank instead of (or in addition to) the table information.

The decision unit 140 decides to grant a greater degree of privilege to a user with a higher rank or an information user, for example. Therefore, the decision unit 140 decides to grant a greater degree of privilege to the information user the longer the subscription period to the second service. The decision unit 140 decides to grant a greater degree of privilege to the user the better the user's health condition is. The decision unit 140 decides to grant a greater degree of privilege to the user the greater the number of IMU sensors 20 attached to the measurement wear 10 (in other words, the greater the number of IMU sensor 20 outputs provided). The decision unit 140 decides to grant a greater degree of privilege to the user the longer the period for providing the IMU sensor 20 outputs. The decision unit 140 decides to grant a greater degree of privilege to the user when the conditions indicated in the first setting condition information are observed, compared to when it is determined that the conditions indicated in the first setting condition information are not observed.

[Operation flow]
FIG. 20 is a flowchart showing an example of the operation of a process for determining to grant a privilege to a user. The flowchart shown in FIG. 20 is executed when analysis information is received from the analysis device 200 or when a record in the analysis result database DB is updated. First, the analysis information acquisition unit 120 acquires analysis information from the analysis device 200 via the network NW (step S100). Next, the derivation unit 130 derives index information indicating the health condition of the user based on the analysis information acquired by the analysis information acquisition unit 120 (step S102). Next, the determination unit 140 determines whether the health condition of the user has deteriorated based on the index information derived by the derivation unit 130 (step S104). When the determination unit 140 determines that the health condition of the user has deteriorated, it determines to grant a privilege to the user (step S106).

When the determination unit 140 determines that the user's health condition has not deteriorated, it determines whether the state indicating that the user's health condition is good has continued for a predetermined period (e.g., several months to several years; first determination period) (step S108). When the determination unit 140 determines that the state indicating that the user's health condition is good has not continued for the first determination period, it decides not to grant a privilege to the user and ends the process. When the determination unit 140 determines that the state indicating that the user's health condition is good has continued for the first determination period, it decides to grant a privilege (bonus privilege) to the user (step S110). Note that in step S106 or step S110, the determination unit 140 may determine the degree of the privilege based on the user rank of the user indicated in the first user information 171, or may decide to grant a predetermined privilege.

Figure 21 is a flowchart showing an example of the operation of the process of deciding to grant a privilege to an information user. The flowchart shown in Figure 21 is repeatedly executed at a predetermined time interval (for example, one day). First, the decision unit 140 decides whether or not the information user has continuously subscribed to the second service for a predetermined period (for example, several months to several years; hereinafter, the second judgment period) based on the information indicating the date and time included in the privilege information 173 (step S200). If the decision unit 140 determines that the information user has not subscribed for the second judgment period, it decides not to grant a privilege to the information user and ends the process. If the decision unit 140 determines that the information user has continued for the second judgment period, it decides to grant a privilege (bonus privilege) to the information user (step S202). In step S202, the decision unit 140 may decide the degree of the privilege based on the information user rank of the information user indicated in the second user information 172, or may decide to grant a predetermined privilege.

Figure 22 is a flow chart showing an example of the operation of the process of adding an information user rank to an information user. First, the adding unit 150 identifies the total subscription period of the information user to the second service based on the information indicating the date and time of the bonus information 173 (step S300). The adding unit 150 adds an information user rank to the information user based on the table information indicating the correspondence between the total subscription period of the second service and the information user rank and the identified total subscription period of the second service, such that the longer the subscription period to the second service, the higher the information user rank that is assigned to the information user (step S302).

Figure 23 is a flowchart showing an example of the operation of the process of adding a user rank to a user. First, the adding unit 150 determines whether or not the index information derived by the derivation unit 130 (Condition 1) indicates that the user's health condition is good (Step S400). If the adding unit 150 determines that the index information indicates that the user's health condition is good, the better the user's health condition is, the higher the user rank that is added to the user (Step S402).

If the addition unit 150 determines that the user's health condition is not good, (condition 2) it determines whether the number of IMU sensors 20 related to the user to which the user rank is to be added is greater than a predetermined threshold based on the sensor count information in the first user information 171 (step S404). If the addition unit 150 determines that the number of IMU sensors 20 is greater than the predetermined threshold, it adds a higher user rank to the user based on the table information indicating the correspondence between the number of IMU sensors 20 and the user rank and the number of identified IMU sensors 20 (step S402).

If the addition unit 150 determines that the number of IMU sensors 20 related to the user is equal to or less than the predetermined threshold, (condition 3) it determines whether the measurement time of the IMU sensor 20 related to the user to which the user rank is to be added is longer than the predetermined threshold based on the information indicating the measurement time in the first user information 171 (step S406). If the addition unit 150 determines that the measurement time of the IMU sensor 20 is longer than the predetermined threshold, it adds a higher user rank to the user based on the table information indicating the correspondence between the measurement time of the IMU sensor 20 and the user rank and the measurement time of the identified IMU sensor 20, the longer the period during which the user provides the output of the IMU sensor 20 (step S402).

When the addition unit 150 determines that the measurement time of the IMU sensor 20 is equal to or less than the predetermined threshold (Condition 4), it determines whether or not the conditions indicated in the first setting condition information are observed based on the analysis results stored in the analysis result database DB and the first user information 171 (step S408). When the addition unit 150 determines that the conditions indicated in the first setting condition information are not observed, it does not assign a high user rank to the user and ends the process. When the addition unit 150 determines that the conditions indicated in the first setting condition information are observed, it assigns a high user rank to the user compared to when it determines that the conditions indicated in the first setting condition information are not observed (step S402).

The adding unit 150 may determine whether or not each condition included in the first setting condition information is being complied with, and may consider the conditions shown in the first setting condition information to be being complied with to the extent that each condition is being appropriately complied with, and may add a higher user rank to the user compared to when it is determined that the conditions shown in the first setting condition information are not being complied with.

In the above description, the adding unit 150 adds users in the order of (Condition 1), (Condition 2), (Condition 3), and (Condition 4) among (Condition 1) to (Condition 4), but this is not limited to the above. The adding unit 150 may process any of (Condition 1) to (Condition 4) with high priority. The adding unit 150 may also add a high user rank to a user when all of (Condition 1) to (Condition 4) are satisfied.

The above describes the form for carrying out the present invention using an embodiment, but the present invention is not limited to such an embodiment, and various modifications and substitutions can be made without departing from the spirit of the present invention.

[Summary of the embodiment]
As described above, the service providing device 100 of this embodiment includes a derivation unit 130 that derives index information indicating the health condition of the user based on an analysis result of analyzing the physical condition of the user based on the output of one or more inertial measurement sensors (in this example, the IMU sensor 20) attached to the measurement wear 10 worn by the user, and a determination unit 140 that determines a privilege to be granted to the user based on the index information. In this way, the service providing device 100 of this embodiment can provide a mechanism by which the user can receive a privilege in return for providing the index information.

In addition, in the service providing device 100 of this embodiment, when the index information indicates that the user's health condition has deteriorated, the decision unit 140 determines to grant a privilege to the user, thereby allowing the user to receive a privilege when the user's health condition deteriorates. In addition, in the service providing device 100 of this embodiment, when the index information indicates that the user's health condition is good for a predetermined period (in this example, the first judgment period), the decision unit 140 determines to grant the privilege to the user, thereby allowing the user to receive a privilege by maintaining a good health condition, and encouraging the user to maintain a good health condition.

In addition, in the service providing device 100 of this embodiment, the benefits are provided at least in part from money or goods provided by the information user who is provided with index information, so that the user can receive the benefits without providing money or goods as the source of the benefits. In addition, in the service providing device 100 of this embodiment, the benefits are provided at least in part from money or goods paid when the user subscribes to a service (in this example, the first service) for which the user can receive the benefits, so that as more users provide index information, it becomes easier for users to receive the benefits.

The service providing device 100 of this embodiment further includes a first adding section (in this example, an adding section) that adds a first rank (in this example, an information user rank) to the information user who receives the provision of index information, and the determining section 140 determines to grant a privilege to the information user for each predetermined period (in this example, the second judgment period). As a result, the service providing device 100 of this embodiment can enable the information user who uses the index information to receive a privilege if he or she continues to use the index information. Furthermore, the first adding section of this embodiment adds a higher first rank to the information user the longer the subscription period to the service in which the user provides money or goods to receive the provision of index information, and the determining section 140 determines the degree of the privilege to be granted to the information user based on the first rank added by the first adding section. As a result, the service providing device 100 of this embodiment can grant a privilege to the information user who uses the index information the longer the subscription period to the service in which the user receives the provision of index information, and can encourage continued use of the second service.

In addition, the service providing device 100 of this embodiment further includes a second adding unit (in this example, the adding unit 150) that adds a second rank (in this example, a user rank) to the user, and the determining unit 140 determines the degree of the privilege to be granted to the user based on the second rank added by the second adding unit. In addition, in the service providing device 100 of this embodiment, the second adding unit adds a higher second rank to the user as the index information indicates that the user's health condition is good, so that the better the health condition, the more privilege the user can receive. In addition, in the service providing device 100 of this embodiment, the second adding unit adds a higher second rank to the user as the number of IMU sensors 20 attached to the IMU sensor 20 increases based on the analysis result, so that the user can receive a privilege as more IMU sensors 20 are provided. Furthermore, in the service providing device 100 of this embodiment, the second adding unit can add a higher second rank to a user based on the analysis result the longer the period during which the user provides the output of the one or more IMU sensors 20, thereby allowing the user to receive a special benefit the longer the period during which the user provides the output of the IMU sensor 20.

The service providing device 100 of this embodiment further includes a determination unit (in this example, the addition unit 150) that determines whether the conditions shown in the first set condition information are observed based on the analysis results and the set conditions (in this example, the conditions shown in the first set condition information) that are set for the user when subscribing to the service that allows the user to receive the privilege, and are based on at least one of the number of IMU sensors 20 attached to the measurement wear 10, the measurement time of the IMU sensors 20, or the number of times the output of one or more IMU sensors 20 is provided. When the determination unit determines that the conditions shown in the first set condition information are observed, the second addition unit provides the output of the IMU sensor 20 by adding a higher second rank to the user compared to when the conditions shown in the first set condition information are not observed. The more the user observes the conditions set when subscribing to the service that allows the user to receive the privilege, the more the user can receive the privilege, and the user can be encouraged to observe the conditions shown in the first set condition information.

10... Measurement wear, 20, 20-1, 20-2, 20-8, 20-9, 20-i, 20-p... IMU sensor, 100... Service providing device, 110... Communication unit, 120... Analysis information acquisition unit, 130... Derivation unit, 140... Decision unit, 150... Addition unit, 170... Storage unit, 171... First user information, 172... Second user information, 173... Benefit information, 174... History information, 200... Analysis device, DB... Analysis result database

Claims (12)

A derivation unit that derives index information indicating a health condition of the user based on an analysis result of a physical condition of the user that is analyzed based on an output of one or more inertial measurement sensors attached to measurement wear worn by the user;
A determination unit that determines a privilege to be granted to the user based on the index information;
a first adding unit that adds a first rank to an information user who receives the index information;
Equipped with
the determination unit determines to grant the privilege to the information user at every predetermined period of time;
Service providing device. The determination unit determines to grant the privilege to the user when the index information indicates that the health condition of the user has deteriorated.
The service providing device according to claim 1 . the determination unit determines to grant the privilege to the user when the index information indicates that the health condition of the user is good for a predetermined period of time.
The service providing device according to claim 1 or 2. The benefit is provided at least in part with funds provided by information users who receive the index information.
The service providing device according to any one of claims 1 to 3. The benefit is at least partly funded by money or goods paid by the user when he/she subscribes to a service that allows him/her to receive the benefit.
The service providing device according to any one of claims 1 to 4. the first adding unit adds a higher first rank to the information user as the information user has a longer subscription period to a service in which the information user provides money or goods to receive the index information;
the determination unit determines a level of the privilege to be granted to the information user further based on the first rank assigned by the first assignment unit.
The service providing device according to claim 1 . A second adding unit that adds a second rank to the user,
The determination unit determines a level of the privilege to be granted to the user further based on the second rank added by the second adding unit.
The service providing device according to any one of claims 1 to 6 . The second adding unit adds a higher second rank to the user as the index information indicates a better health condition of the user.
The service providing device according to claim 7 . The second adding unit adds a higher second rank to the user based on the analysis result as the number of the inertial measurement sensors attached to the measurement wear increases.
The service providing device according to claim 7 or 8 . the second adding unit adds a higher second rank to the user based on the analysis result as the period during which the user provides the output of the one or more inertial measurement sensors is longer.
The service providing device according to any one of claims 7 to 9 . a determination unit that determines whether or not the set conditions are observed based on the analysis result and on at least one of the conditions set for the user when subscribing to a service that allows the user to receive the benefit, the set conditions being based on the number of the inertial measurement sensors attached to the measurement wear, the measurement time of the inertial measurement sensors, or the number of times the output of the one or more inertial measurement sensors is provided;
the second adding unit, when it is determined by the determining unit that the set condition is complied with, adds a higher second rank to the user than when it is determined that the set condition is not complied with.
The service providing device according to any one of claims 7 to 10 . On the computer,
deriving index information indicating a health condition of the user based on an analysis result of a physical condition of the user that is analyzed based on an output of one or more inertial measurement sensors attached to measurement wear worn by the user;
determining a benefit to be given to the user based on the index information ;
A first rank is assigned to an information user who receives the index information;
determining whether to grant the privilege to the information user at each predetermined time period;
program.

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